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https://hdl.handle.net/1959.11/26916| Title: | Genomic prediction for parasite resistance in sheep using whole-genome sequence data | Contributor(s): | Al Kalaldeh, M (author) ; Duijvesteijn, N (author); Moghaddar, N (author) ; Gibson, J (author) ; van der Werf, J H J (author) |
Publication Date: | 2018 | Open Access: | Yes | Handle Link: | https://hdl.handle.net/1959.11/26916 | Open Access Link: | http://www.wcgalp.org/proceedings/2018/genomic-prediction-parasite-resistance-sheep-using-whole-genome-sequence-data | Abstract: | Genomic prediction for parasite resistance in sheep using whole-genome sequence data The objective of the study is to compare QTL mapping precision and the accuracy of genomic prediction for parasite resistance in sheep using pre-selected variants identified from the high-density SNP panel (600k) and the imputed whole-genome sequence (WGS) data and to evaluate the prediction accuracy when using selected SNPs. The results of this paper show that the use of WGS variants located within or close to QTL regions can improve the prediction accuracy of parasite resistance compared to using variants selected from the high-density SNP panel. | Publication Type: | Conference Publication | Conference Details: | WCGALP 2018: 11th World Congress on Genetics Applied to Livestock Production, Auckland, New Zealand, 11th - 16th February, 2018 | Source of Publication: | Proceedings of the World Congress on Genetics Applied to Livestock Production, v.11, p. 1-9 | Publisher: | Massey University | Place of Publication: | Palmerston North, New Zealand | Fields of Research (FoR) 2008: | 070201 Animal Breeding | Fields of Research (FoR) 2020: | 300305 Animal reproduction and breeding | Socio-Economic Objective (SEO) 2008: | 830310 Sheep - Meat | Socio-Economic Objective (SEO) 2020: | 100412 Sheep for meat | Peer Reviewed: | Yes | HERDC Category Description: | E1 Refereed Scholarly Conference Publication | Publisher/associated links: | http://www.wcgalp.org/proceedings/2018 |
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| Appears in Collections: | Conference Publication School of Environmental and Rural Science |
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| openpublished/GenomicAlKalaldehDuijvesteijnMoghaddarGibsonVanDerWerf2018JournalArticle.pdf | Published version | 1.32 MB | Adobe PDF Download Adobe | View/Open |
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